Instructions to use peter-sushko/RealEdit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use peter-sushko/RealEdit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("peter-sushko/RealEdit", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Upload realedit_model.ckpt
Browse files- realedit_model.ckpt +3 -0
realedit_model.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:42945c61290e5df74babfedac4cf31176b6bdcef8323b9c565130801d32890f7
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size 14580788757
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